alfworld-object-locator

To locate objects in ALFWorld, you can use common-sense reasoning to map target objects to probable receptacles. The skill scans textual observations for available receptacles, ranks them based on learned object-receptacle associations, and outputs a navigation command to the most likely location.

Common-sense reasoning for receptacle identification uses a knowledge base of object-receptacle relationships to prioritize likely locations. When an agent needs to find an object, the skill matches the target against known associations to determine the highest-ranked receptacle.

To navigate an agent to a specific item, parse the environment's textual observation to identify all available receptacles. The skill then ranks these receptacles based on common-sense mappings and instructs the agent to navigate to the highest-ranked one.

You can use the object locator for target objects within the ALFWorld environment. It relies on learned common-sense associations between objects and receptacles to function, so its effectiveness depends on the target object having a defined mapping within its knowledge base.

Your game AI struggles because the ALFWorld observation lacks explicit location data. The skill solves this by applying common-sense reasoning to map the target object to a probable receptacle and generating a navigation command to that location.